📊 QSPR Single-Descriptor Polynomial Regression Report

📋 Dataset Summary

Number of Compounds: 50

Descriptors: Mo, PI, Sz, GA

Target Properties: MW, logP, HBD, HBA, RB, TPSA, Complexity, HeavyAtoms

Total Models Generated: 32

📈 Overall Statistics

📊 Model Performance Distribution

R² Score Distribution:

• Excellent (R² ≥ 0.8): {len([m for m in models_data if m['r2'] >= 0.8])} models
• Good (0.6 ≤ R² < 0.8): {len([m for m in models_data if 0.6 <= m['r2'] < 0.8])} models
• Moderate (0.4 ≤ R² < 0.6): {len([m for m in models_data if 0.4 <= m['r2'] < 0.6])} models
• Poor (R² < 0.4): {len([m for m in models_data if m['r2'] < 0.4])} models